Data Analyst

Overview

**Job Title: Data Analyst**

**Experience:**

– Relevant Experience: 5 years

– Total Experience: 9 years

**Key Requirements:**

1. **Data Modeling:** Proficient in designing and implementing effective data models to support business requirements and analytics.

2. **Azure:** Hands-on experience with Microsoft Azure, including Azure Data Factory, Azure Databricks, and other relevant services.

3. **Architectural Skills:** Familiarity with data architecture principles and the ability to contribute to the development of scalable data solutions.

4. **Data Analytics:** Strong analytical skills to interpret complex data sets and provide actionable insights for business improvement.

5. **Power BI:** Proficient in creating compelling and interactive visualizations using Power BI for effective data communication.

6. **Data Transformation:** Experience in transforming raw data into meaningful and valuable insights through various data transformation techniques.

7. **Python and Panda:** Strong proficiency in Python programming language and Pandas library for data manipulation and analysis.

8. **Kafka:** Knowledge of Kafka for real-time data streaming and processing.

9. **Banking Experience:** Previous experience in the banking sector is a must, demonstrating an understanding of financial data, security, and compliance requirements.

10. **Attitude:** Proactive and assertive approach to problem-solving, with the ability to drive initiatives and projects forward.

**Responsibilities:**

– Collaborate with cross-functional teams to understand business requirements and provide data-driven insights.

– Develop and maintain data models to support analytical needs and business reporting.

– Utilize Azure services, including Data Factory and Databricks, for efficient data processing and analysis.

– Design and implement data transformation processes to enhance data quality and usability.

– Create and maintain interactive dashboards and reports using Power BI.

– Utilize Python and Pandas for data analysis and scripting tasks.

– Work with real-time data streams using Kafka for timely insights.

– Ensure compliance with data security and regulatory requirements in the banking domain.

**Qualifications:**

– Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.

– Proven experience in data analysis with a focus on Azure technologies.

– Strong proficiency in Python programming and experience with Pandas.

– Experience with real-time data processing using Kafka.

– Previous experience in the banking sector is essential.

– Excellent analytical and problem-solving skills.